Tips for troublesome sample-size calculation
- Authors
- In, Junyong; Kang, Hyun; Kim, Jong Hae; Kim, Tae Kyun; Ahn, Eun Jin; Lee, Dong Kyu; Lee, Sangseok; Park, Jae Hong
- Issue Date
- 4월-2020
- Publisher
- KOREAN SOC ANESTHESIOLOGISTS
- Keywords
- Biostatistics; Effect size; Independent t-test; Power; P value; Sample size
- Citation
- KOREAN JOURNAL OF ANESTHESIOLOGY, v.73, no.2, pp.114 - 120
- Indexed
- SCOPUS
KCI
- Journal Title
- KOREAN JOURNAL OF ANESTHESIOLOGY
- Volume
- 73
- Number
- 2
- Start Page
- 114
- End Page
- 120
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/56732
- DOI
- 10.4097/kja.19497
- ISSN
- 2005-6419
- Abstract
- Properly set sample size is one of the important factors for scientific and persuasive research. The sample size that can guarantee both clinically significant differences and adequate power in the phenomena of interest to the investigator, without causing excessive financial or medical considerations, will always be the object of concern. In this paper, we reviewed the essential factors for sample size calculation. We described the primary endpoints that are the main concern of the study and the basis for calculating sample size, the statistics used to analyze the primary endpoints, type I error and power, the effect size and the rationale. It also included a method of calculating the adjusted sample size considering the dropout rate inevitably occurring during the research. Finally, examples regarding sample size calculation that are appropriately and incorrectly described in the published papers are presented with explanations.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Medicine > Department of Medical Science > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.